并联混合动力汽车模糊多目标控制策略
CSTR:
作者:
作者单位:

作者简介:

通讯作者:

中图分类号:

基金项目:

国家863计划资助项目(2003AA501350)


Multi-objective control strategy for parallel HEV using fuzzy logic
Author:
Affiliation:

Fund Project:

  • 摘要
  • |
  • 图/表
  • |
  • 访问统计
  • |
  • 参考文献
  • |
  • 相似文献
  • |
  • 引证文献
  • |
  • 资源附件
  • |
  • 文章评论
    摘要:

    针对并联混合动力汽车(PHEV),提出一种模糊多目标整车控制策略。通过应用电动机等效燃油消耗的概念,将整车燃油消耗与尾气排放同时作为优化目标。应用模糊逻辑和最小加权偏差法,并根据当前工况对优化目标的偏好情况,求得瞬时最优工作点。基于ADVISOR仿真平台的研究表明,模糊多目标控制策略(FMCS)相对基于规则的控制策略(RBCS)能够在不损失车辆动力性能的前提下有效降低燃油消耗和尾气排放,同时将电池荷电状态(SOC)维持在合理范围内。

    Abstract:

    A fuzzy multi-objective control strategy is proposed for parallel hybrid electric vehicles (PHEV). By the concept of motor equivalent fuel consumption, the overall vehicle fuel economy and the corresponding emissions can be treated as the optimization objectives. Then a minimum average weighted deviation method is designed to find the Pareto optimal solution with considering the variations of objective preference in different district. The simulation on ADVISOR reveals that, compared with the rule based control strategy (RBCS), with the premise that there is no loss to power performance, the proposed fuzzy multi-objective control strategy (FMCS) not only improves fuel economy and emission level but also maintains battery SOC within its operation range more effectively.

    参考文献
    相似文献
    引证文献
引用本文

张毅,刘和平,伍元彪.并联混合动力汽车模糊多目标控制策略[J].重庆大学学报,2013,36(2):75-84.

复制
分享
文章指标
  • 点击次数:
  • 下载次数:
  • HTML阅读次数:
  • 引用次数:
历史
  • 收稿日期:
  • 最后修改日期:
  • 录用日期:
  • 在线发布日期: 2013-03-13
  • 出版日期:
文章二维码